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Modeling and executing electronic health records driven phenotyping algorithms using the NQF Quality Data Model and JBoss® Drools Engine.
Dingcheng Li
, Cory M. Endle
, Sahana Murthy
, Craig Stancl
, Dale Suesse
, Davide Sottara
, Stanley M. Huff
, Christopher G. Chute
, Jyotishman Pathak
Research output
:
Contribution to journal
›
Article
›
peer-review
30
Scopus citations
Overview
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Dive into the research topics of 'Modeling and executing electronic health records driven phenotyping algorithms using the NQF Quality Data Model and JBoss® Drools Engine.'. Together they form a unique fingerprint.
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Keyphrases
Electronic Health Records
100%
Phenotype Algorithms
100%
National Quality Forum
100%
JBoss
100%
Quality Data Model
100%
Phenotype Definition
40%
Mayo Clinic
20%
Diabetes
20%
Clinical Data
20%
Meaningful Use
20%
APACHE
20%
Patient Data
20%
Formal Representation
20%
Routine Care
20%
Human Interpretation
20%
Grammar
20%
Translator
20%
Electronic Health Record Data
20%
Information Model
20%
Coronary Artery Disease
20%
Real Patients
20%
Basic Logic
20%
Rule Engine
20%
Automatic Translation
20%
Business Rules Management Systems
20%
Unstructured Information Management Architecture
20%
Computer Science
Data Model
100%
Jboss
100%
Open Source
50%
Clinical Data
50%
Clinical Routine
50%
Information Model
50%
Data Record
50%
Represent Data
50%
Unstructured Information Management Architecture
50%